Weakly Supervised Object Detection On Pascal
Metrics
MAP
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | MAP |
|---|---|
| few-example-object-detection-with-model | 35.4 |
| weakly-supervised-cascaded-convolutional | 37.9 |
| instance-aware-context-focused-and-memory | 52.1 |
| dissimilarity-coefficient-based-weakly | 49.5 |
| c-midn-coupled-multiple-instance-detection | 50.3 |
| weaksam-segment-anything-meets-weakly | 63.7 |
| weaksam-segment-anything-meets-weakly | 70.2 |
| training-object-detectors-from-few-weakly-1 | 36.6 |
| you-reap-what-you-sow-using-videos-to | 43.2 |
| multiple-instance-detection-network-with | 42.5 |
| zigzag-learning-for-weakly-supervised-object | 42.9 |
| comprehensive-attention-self-distillation-for | 53.6 |
| weaksam-segment-anything-meets-weakly | 69.2 |
| deep-self-taught-learning-for-weakly | 38.3 |
| min-entropy-latent-model-for-weakly | 42.4 |
| object-instance-mining-for-weakly-supervised | 46.4 |
| contextlocnet-context-aware-deep-network | 35.3 |
| weaksam-segment-anything-meets-weakly | 66.9 |
| variational-bayesian-multiple-instance | 37.8 |
| utilizing-the-instability-in-weakly | 48.0 |
| adaptively-denoising-proposal-collection | 35.2 |
| towards-precise-end-to-end-weakly-supervised-1 | 49.5 |
| c-mil-continuation-multiple-instance-learning | 46.7 |
| object-discovery-via-contrastive-learning-for | 54.6 |
| wsod2-learning-bottom-up-and-top-down | 47.2 |
| object-aware-instance-labeling-for-weakly | 48.1 |
| weaksam-segment-anything-meets-weakly | 62.9 |
| exploiting-web-images-for-weakly-supervised | 42.8 |
| w2f-a-weakly-supervised-to-fully-supervised | 47.8 |
| weaksam-segment-anything-meets-weakly | 58.4 |
| cyclic-guidance-for-weakly-supervised-joint | 46.1 |
| pcl-proposal-cluster-learning-for-weakly | 44.2 |